854 search results for "how to import image file to r"

Spacing measures: heterogeneity in numerical distributions

Spacing measures: heterogeneity in numerical distributions

Numerically-coded data sequences can exhibit a very wide range of distributional characteristics, including near-Gaussian (historically, the most popular working assumption), strongly asymmetric, light- or heavy-tailed, multi-modal, or discrete (e.g., count data).  In addition, numerically coded values can be effectively categorical, either ordered, or unordered.  A specific example that illustrates the range of distributional behavior often seen in a collection...

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Who is the most complete athlete? – An insight with the Mahalanobis distance (sport & data analysis)

September 21, 2012
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Who is the most complete athlete? – An insight with the Mahalanobis distance (sport & data analysis)

How to use your favorite fonts in R charts

September 20, 2012
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How to use your favorite fonts in R charts

Today's guest post comes from Winston Chang, a software developer at RStudio — ed. When it comes to making figures in R, you can use any font you like, as long as it's Helvetica, Times, or Courier. Using other fonts that are installed on your computer can seem an impossible task, especially if you want to save the output...

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The PMML Revolution: Predictive analytics at the speed of business

September 19, 2012
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The PMML Revolution: Predictive analytics at the speed of business

This guest post is by Alex Guazzelli, VP of Analytics at Zementis Inc. -- ed. PMML, the Predictive Model Markup Language, is the de facto standard to represent predictive analytics and data mining models. With PMML, it is extremely easy to move a predictive solution from one system to another, since it avoids proprietary issues and incompatibilities. Companies around...

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DESeq vs edgeR Comparison

September 18, 2012
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DESeq vs edgeR Comparison

Update (Dec 18, 2012): Please see this related post I wrote about differential isoform expression analysis with Cuffdiff 2.DESeq and edgeR are two methods and R packages for analyzing quantitative readouts (in the form of counts) from high-throughput e...

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Great Circles, Black Holes, and Community Events Part 3 of 3

September 14, 2012
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Great Circles, Black Holes, and Community Events Part 3 of 3

The second community event is the Soldier Hollow Junior Olympics (SoHo), again found in the Heber Valley area. Building upon the previous posts (part 1 and part 2) this one will show an event that has more people coming from greater distance. Take the bar charts for the number of participants and the cities they are...

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Great Circles, Black Holes, and Community Events Part 2 of 3

September 12, 2012
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Great Circles, Black Holes, and Community Events Part 2 of 3

This post will examine the Heber Valley Railroad, a small town tourist attraction using event gravitational pull. Using the information from part 1 the two factors associated with the events gravity, the number of participants, and the distance they traveled. The number of participants can be shown using bar charts, histograms, and summary tables. The distance traveled...

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Big data analysis, for free, in R (or “How I learned to load, manipulate, and save data using the ff package”)

September 11, 2012
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Big data analysis, for free, in R (or “How I learned to load, manipulate, and save data using the ff package”)

Before choosing to support the purchase of Statistica at my workplace, I came across the ff package as an option for working with really big datasets (with special attention paid to ff dataframes, or ffdf). It looked like a good … Continue reading →

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Item Response Theory: Developing Your Intuition

September 10, 2012
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Item Response Theory: Developing Your Intuition

Suppose that you accepted my argument from the last two posts on halo effects and bifactor models.  As you might recall, I argued that when respondents complete rating scales, they predominating rely on their generalized impression with a more minor role played by the specific features that the ratings were written to measure.  Consequently, we...

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In praise of ProjectTemplate for reproducible research

September 7, 2012
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In praise of ProjectTemplate for reproducible research

As you might know from some of my previous posts, I’m a big fan of making my scientific work reproducible. My main reasons for being so keen on this are: 1. Reproducibility is key to science – if it can’t be reproduced then it can not be verified (that is, the experiment can’t be tried again

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